Debunking Myths and Misconceptions About Artificial Intelligence


Published: 18 January 2019 ID: G00375965

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Summary

The hype around artificial intelligence has led to many myths. Enterprise architecture and technology innovation leaders implementing AI projects must separate reality from the myths to devise future strategies, or enhance existing ones, that will deliver business value outcomes.

Table of Contents

  • Analysis
    • Myth 1: AI and Machine Learning Are the Same and Interchangeable
    • Myth 2: All Black-Box AI Needs to Be Explainable
    • Myth 3: AI Is All About the Algorithms and the Models
    • Myth 4: We Do Not Need an AI Strategy — AI Does Not Apply to My Business Yet
    • Myth 5: AI Can Be Free of Bias
    • Myth 6: AI Will Only Replace Repetitive Jobs That Don’t Require Advanced Degrees
    • Myth 7: There Is One Best AI Platform Vendor
    • Myth 8: Deep Neural Networks (aka Deep Learning) Are the Best AI
    • Myth 9: AI Works in the Same Way as the Human Brain
    • Myth 10: Intelligent Machines Learn on Their Own
  • Gartner Recommended Reading
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